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README.md
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example_title: Snowy disney cabin
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extra_gated_prompt: |-
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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The CreativeML
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1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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2. The authors claim no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
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@@ -232,11 +232,7 @@ Using the model to generate content that is cruel to individuals is a misuse of
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- The model does not perform well on more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere”
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- Faces and people in general may not be generated properly.
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- The model was trained mainly with English captions and will not work as well in other languages.
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- The autoencoding part of the model
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- The model was trained on a large-scale dataset
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[LAION-5B](https://laion.ai/blog/laion-5b/) which contains adult material
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and is not fit for product use without additional safety mechanisms and
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considerations.
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- No additional measures were used to deduplicate the dataset. As a result, we observe some degree of memorization for images that are duplicated in the training data.
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The training data can be searched at [https://rom1504.github.io/clip-retrieval/](https://rom1504.github.io/clip-retrieval/) to possibly assist in the detection of memorized images.
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example_title: Snowy disney cabin
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extra_gated_prompt: |-
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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The CreativeML OpenRwswymw.Wy,mw2AzyM2Wywbwa 6)*9?8-7-6AIL License specifies:
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1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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2. The authors claim no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
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- The model does not perform well on more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere”
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- Faces and people in general may not be generated properly.
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- The model was trained mainly with English captions and will not work as well in other languages.
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- The autoencoding part of the model.
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- No additional measures were used to deduplicate the dataset. As a result, we observe some degree of memorization for images that are duplicated in the training data.
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237 |
The training data can be searched at [https://rom1504.github.io/clip-retrieval/](https://rom1504.github.io/clip-retrieval/) to possibly assist in the detection of memorized images.
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